Advisor: Child Development & Pediatric Behavioral Health Specialist

Key Responsibilities

• Provide expert developmental guidance to inform how multimodal AI interprets behaviors, developmental milestones, and age-specific patterns throughout childhood and adolescence.
• Validate AI-derived insights pertaining to autism early signs, developmental delays, speech and motor patterns, executive function, school-age learning trajectories, emotional regulation, sleep behavior, and adolescent transitions.
• Advise on appropriate developmental frameworks to inform AI training methodologies, data annotation strategies, and age-specific signal interpretation models.
• Ensure that insights generated by multimodal models are clinically accurate, culturally sensitive, and strictly aligned with the nuances of pediatric development.
• Review research protocols, preliminary validation studies, and the ethical frameworks governing the use of child behavioral data.
• Support the formulation of clear, developmentally appropriate messaging for communicating AI-generated insights to families and clinicians.
• Offer perspectives on the longitudinal relationship between early developmental signals and subsequent childhood/adolescent outcomes.

Qualifications

• An advanced degree (e.g., Ph.D., Psy.D., M.D.) in Child Development, Developmental Psychology, Pediatric Behavioral Health, Developmental-Behavioral Pediatrics, Pediatric Neurology, or a closely related field.
• A minimum of 7–10 years of professional experience across early childhood, school-age, or adolescent developmental contexts.
• A strong foundation in developmental screening practices, understanding of early behavioral variation, expertise in ASD-related early signs, attention/learning differences, and pediatric behavioral health.
• Familiarity with teams developing AI or digital health tools is beneficial, though not strictly required.
• Demonstrated ability to translate complex clinical or developmental constructs into actionable guidance for data scientists and product development teams.

What Success Looks Like

• The multimodal AI system consistently reflects accurate, developmentally appropriate interpretations across the entire 0–15 year trajectory.
• Developmental insights are validated, ethical, and provide meaningful support for families and clinicians.
• The platform establishes clinical credibility and developmental robustness, fundamentally rooted in expert guidance.